diff --git a/backend/score.py b/backend/score.py
index ae1634bb6..7b5598081 100644
--- a/backend/score.py
+++ b/backend/score.py
@@ -8,6 +8,7 @@
 import asyncio
 import base64
 from langserve import add_routes
+from langchain_core.messages import HumanMessage, AIMessage
 from langchain_google_vertexai import ChatVertexAI
 from src.api_response import create_api_response
 from src.graphDB_dataAccess import graphDBdataAccess
@@ -375,7 +376,28 @@ async def post_processing(uri=Form(), userName=Form(), password=Form(), database
     
     finally:
         gc.collect()
-                
+
+@app.post('/retrieve_docs')
+async def retrieve_docs(uri=Form(),model=Form(None),userName=Form(), password=Form(), database=Form(), document_names=Form(None), mode=Form(None), question=Form(None)):
+    if mode == "graph":
+        graph = Neo4jGraph( url=uri,username=userName,password=password,database=database,sanitize = True, refresh_schema=True)
+    else:
+        graph = create_graph_database_connection(uri, userName, password, database)
+
+    chat_mode_settings = get_chat_mode_settings(mode=mode)
+
+    messages = [HumanMessage(question)]
+
+    try:
+        llm, doc_retriever, model_version = setup_chat(model, graph, document_names, chat_mode_settings)
+        docs, transformed_question = retrieve_documents(doc_retriever, messages)
+        return {
+            'docs': docs,
+            'transformed_question': transformed_question
+        }
+    except Exception as e:
+        return {'docs': [], 'transformed_question': None}
+
 @app.post("/chat_bot")
 async def chat_bot(uri=Form(),model=Form(None),userName=Form(), password=Form(), database=Form(),question=Form(None), document_names=Form(None),session_id=Form(None),mode=Form(None),email=Form()):
     logging.info(f"QA_RAG called at {datetime.now()}")
@@ -1053,4 +1075,4 @@ async def get_schema_visualization(uri=Form(), userName=Form(), password=Form(),
         gc.collect()
 
 if __name__ == "__main__":
-    uvicorn.run(app)
\ No newline at end of file
+    uvicorn.run(app)